Desarrollo de arquitecturas de software para la gestión eficiente de grandes volúmenes de datos DOI
Víctor Joel Pinargote Bravo

Published: Oct. 31, 2023

This article analyzes the trends and challenges in development of software architectures for efficient management large volumes data, addressing approaches such as Data Mesh, Fabric microservices-based architectures. The main obstacles their implementation are identified, lack interoperability, security risks high adoption costs. Methodologically, an exploratory research based on a literature review sources indexed Scopus Web Science is used, allowing critical synthesis most relevant architectural models. results highlight that data decentralization improves system scalability flexibility, while microservices optimize modularity technological integration. Also, artificial intelligence has demonstrated significant impact advanced analytics decision making. discussion highlights that, despite benefits these architectures, related to compatibility, cybersecurity economic investment still persist. In conclusion, evolution models remains key digital transformation, requiring strategies facilitate sustainable various sectors

Language: Английский

Innovación pedagógica en entornos de aprendizaje digitales DOI
María Solanda Segovia-García,

Ángel Enrique Guerrero-Bermúdez,

María Veronica Ganchozo-Loor

et al.

Published: Jan. 8, 2025

The integration of digital technologies in educational environments represents a challenge and an opportunity to improve teaching learning processes. This study analyzes, through literature review, innovative pedagogical strategies environments, focusing on the challenges, opportunities proposals for their implementation. methodology included systematic search Scopus complementary sources, selecting 542 papers published between 2019 2024. results highlight positive impact such as flipped classroom project-based learning, which promote active personalized learning. Likewise, tools artificial intelligence augmented reality have been shown academic performance, motivation student engagement. However, divide resistance change part teachers institutions limit adoption, requiring continuous teacher training inclusive public policies. In conclusion, innovation requires combination training, technological investment cultural ensure more equitable education adapted needs 21st century.

Language: Английский

Citations

0

Uso de la inteligencia artificial en la dirección de centros educativos DOI Creative Commons
Santiago Bolivar Jiménez-Tuza

Revista Científica Zambos., Journal Year: 2025, Volume and Issue: 4(1), P. 191 - 204

Published: Jan. 31, 2025

The implementation of artificial intelligence (AI) in the management educational centers implies a transformation academic and administrative management. This study, based on literature review, analyzes its applications, benefits challenges. AI automates tasks such as enrollment scheduling, allowing managers to focus strategic issues. In addition, real-time data analysis improves decision making key indicators, while personalization learning responds individual needs learners, increasing their motivation performance. However, adoption faces challenges high technological costs, lack digital training for staff, need clear regulations ensure ethical use. Also, privacy security risks highlight importance robust protocols. It is concluded that has potential transform education, provided associated technical are adequately addressed.

Language: Английский

Citations

0

Tecnologías de riego inteligente y su contribución a la conservación del agua en agricultura DOI Creative Commons
Cesar Iván Flores Mancheno, Luisa Anabel Palacios-López

Published: March 12, 2025

Increasing pressure on water resources, exacerbated by climate change, calls for sustainable solutions in agriculture. This study analyzes smart irrigation technologies, which combine advanced sensors, automation and real-time data analysis, as key tools to optimize use. Through a literature review, their main benefits were identified, including the reduction of consumption up 30%, precision application according specific crop needs, reduced evaporation losses. However, significant barriers remain, such high upfront costs reliance digital infrastructure, limit adoption, especially among smallholder farmers. Suggested strategies include government incentives, accessible technical training, promotion more affordable technologies. In conclusion, technologies not only improve sustainability agricultural productivity, but also contribute global food security. effective implementation requires comprehensive approach that combines financial, educational technological support ensure accessibility success diverse contexts.

Language: Английский

Citations

0

Desafíos legales en la protección de datos personales en la era digital DOI
Yorly Geomar Barzola-Plúas, Ronny Alejandro Núñez-Ribadeneyra

Published: Feb. 18, 2025

In the digital era, personal data protection faces significant challenges due to rapid technological evolution and lack of effective legal regulations. This study analyzes issues, aggravating factors possible solutions improve protection. Using an exploratory approach based on a literature review, relevant sources were collected from academic databases, analyzed systematized into thematic categories. The results show that current regulations are insufficient address emerging technologies such as artificial intelligence big data, international harmonization face limitations in supervision. Factors low education advancement exacerbate these problems. proposes adoption standards, strengthening regulatory authorities educational programs empower citizens businesses. It concludes comprehensive strategy combining measures is essential anticipate future risks, ensuring privacy security global digitized context.

Language: Английский

Citations

0

Análisis de las tendencias en inteligencia artificial para la automatización de procesos DOI
Amarilis Liseth Villa-Feijoó, Víctor René García Peña, Paulo César Galarza-Sánchez

et al.

Published: Feb. 28, 2025

Artificial intelligence (AI) is transforming traditional automation paradigms in key sectors by optimizing processes, reducing costs and improving decision making through big data. This article aims to analyze the emerging trends of AI automation, assessing its impact on productivity, sustainability equity. Through a literature review Scopus database, 352 papers published between 2019 2023 were selected. Advanced applications such as natural language processing, deep neural networks digital twins, which are redefining processes manufacturing, logistics, health finance, identified. The results show remarkable benefits, early disease detection, supply chain optimization real-time financial fraud detection. However, significant challenges also arise, labor displacement, data privacy algorithmic biases, demand strong regulatory frameworks inclusive retraining strategies. In conclusion, represents tool for transformation, but implementation must be accompanied ethical governance ensure equitable access benefits.

Language: Английский

Citations

0

Seguridad y privacidad en el almacenamiento de datos en sistemas de información distribuidos DOI
Víctor Joel Pinargote Bravo

Published: Jan. 31, 2025

Security and privacy in distributed information systems represent a growing challenge due to the decentralization of data increase cyber-attacks. This study analyzes threats, mitigation strategies, future challenges protecting data. Through systematic literature review, risks such as ransomware, phishing DDoS attacks, well vulnerabilities interoperability hybrid cloud were identified. Mitigation strategies include encryption, multi-factor authentication artificial intelligence-based monitoring. It is recognized that lack globally homogeneous regulations hinders implementation unified security policies, while adoption emerging technologies, blockchain quantum computing, offers promising solutions. However, cybersecurity awareness training remains significant obstacle. concluded protection requires holistic approach combines appropriate regulations, technological innovation continuous strengthen resilience digital infrastructures.

Language: Английский

Citations

0

Inteligencia Artificial Aplicada a Procesamiento de Lenguaje Natural (NLP) con Python y Machine Learning. DOI Creative Commons

Lady Mariuxi Lady Mariuxi,

Ricardo Javier Celi-Párraga, Ivan Leonel Acosta-Guzmán

et al.

Published: Aug. 7, 2024

Este libro refleja el trabajo realizado bajo investigación entre docentes investigadores con afán de que sea útil al lector, uso predicciones momento entrenar un algoritmo clasificado texto en procesamiento lenguaje natural (PLN) basado machine learning. Conformado 4 capítulos la utilidad para inicio mundo IA rama Python El Capítulo 1 menciona conceptos y evolución las diferentes ramas conocimiento abarca inteligencia artificial (AI), entendimiento del NLP, learning, tipos aprendizaje resolver problemas como supervisado, no supervisado refuerzo. 2 se profundiza NLP conociendo los contenidos básicos clasificación como: Las técnicas diseño LSTM, tokeización, stopword, lematización, bag of Word (part speech tagging). 3 es estructuración este capítulo conocer definiciones modelos son útiles orientado a texto. caso predicción o grado asertividad modelamiento algoritmo, intención demostrar utilización modelo varias aplicando

Citations

3

La inteligencia artificial y su incidencia en la educación: un análisis desde un rol transformador DOI

Carlos Leónidas Souzza Moreira,

Yaneth Liliana Zambrano López,

Betsy Maribel Santana Holguín

et al.

South Florida Journal of Development, Journal Year: 2024, Volume and Issue: 5(7), P. e4184 - e4184

Published: July 24, 2024

La investigación bibliográfica sobre "La inteligencia artificial y su incidencia en la educación: un análisis desde rol transformador" analiza cómo (IA) está transformando el campo educativo. IA se presenta como una herramienta poderosa para mejorar calidad de educación, personalizar aprendizaje aumentar eficiencia los procesos educativos. El estudio destaca que educación puede facilitar adaptación contenidos educativos a las necesidades específicas cada estudiante, permitiendo más efectivo significativo. Además, ayudar docentes evaluación del progreso estudiantes, identificando áreas mejora proporcionando retroalimentación personalizada. Sin embargo, también señalan posibles desafíos riesgos asociados con implementación privacidad datos, equidad acceso tecnología posible reemplazo profesores por sistemas automatizados. En definitiva, recalca tiene potencial transformar radicalmente pero plantea importantes deben ser abordados garantizar utilice manera ética equitativa.

Citations

0

Impacto de la inteligencia artificial en los procesos contables mediante revisión de tendencias y desafíos DOI
Silvana Lissette Gonzalez-Mejía, Joshelyn Germania Chamorro-Quiñónez,

Cinthya Fernanda Rivera-Pizarro

et al.

Published: June 3, 2024

The paper analyzes the impact of artificial intelligence (AI) on accounting processes, highlighting both opportunities and challenges associated with its implementation. From a bibliographic perspective, it describes benefits such as automation repetitive tasks, error reduction, improved predictive analytics fraud detection. In addition, points out how AI transforms accountant's profile towards strategic analytical roles. However, study highlights important limitations, need for specialized training risks in security privacy financial data. methodology used combines an exhaustive analysis recent academic literature, prioritizing studies indexed databases Scopus WoS, qualitative approach to identify patterns knowledge gaps. article concludes that while promises revolutionize accounting, adoption requires investments training, technological infrastructures robust cybersecurity policies. It also emphasizes importance ethical collaborative ensure balanced sustainable integration. This work serves basis future research strategies maximize potential accounting.

Language: Английский

Citations

0

Transformación digital y su impacto en estrategias y herramientas tecnológicas en la administración moderna DOI
Kathia Laura Marcos-Rodriguez, Priscila Narcisa Moran-Murillo, Christian Geovanny Ríos-Gaibor

et al.

Published: Sept. 30, 2024

Digital transformation is revolutionizing modern management, being a key factor to improve organizational competitiveness in dynamic environment. This article analyzes, through literature review, the strategies and technological tools that organizations adopt integrate advanced technologies such as artificial intelligence, IoT ERP CRM systems into their operations. The study identifies resistance change, lack of digital skills associated costs, particularly SMEs, challenges. leadership strategic planning emerge essential elements align objectives with digitization, enabling effective use these tools. results highlight proper implementation not only optimizes internal processes but also drives innovation long-term sustainability. research concludes must be addressed holistic approach, integrating tools, adaptive commitment overcome barriers seize opportunities an increasingly digitized market.

Language: Английский

Citations

0